Clustered Image Maps (CIMs) ("heat maps")
Simulation study for multilevel analysis
Estimate the parameters of regularization for Regularized CCA
Image Maps of Correlation Matrices between two Data Sets
Multilevel analysis for repeated measurements (cross-over design)
Identification of zero- or near-zero variance predictors
Relevance Network for (r)CCA and (s)PLS regression
Non-linear Iterative Partial Least Squares (NIPALS) algorithm
Tune the number of principal components in PCA
Compute evaluation criteria for PLS, sPLS, PLS-DA and sPLS-DA
Plot of Individuals (Experimental Units) in three dimensions
Plot of Individuals (Experimental Units)
Partial Least Squares Discriminate Analysis (PLS-DA).
Predict Method for PLS, sPLS, PLS-DA or sPLS-DA
Print Methods for CCA, (s)PLS, PCA and Summary objects
Sparse Partial Least Squares Discriminate Analysis (sPLS-DA)
Small version of the small round blue cell tumors of childhood data
Tuning functions for multilevel analyses
Compute validation criterion for PLS, sPLS, PLS-DA and sPLS-DA
Variable Importance in the Projection (VIP)
mixOmics wrapper for Regularised Generalised Canonical Correlation Analysis (rgcca)
mixOmics wrapper for Sparse Generalised Canonical Correlation Analysis (sgcca)